PYSEC-2026-3235 Missing validation results in undefined behavior in `SparseTensorDenseAdd

Impact The implementation of tf.rawops.SparseTensorDenseAdd does not fully validate the input arguments: python import tensorflow as tf aindices = tf.constant0, shape=17, 2, dtype=tf.int64 avalues = tf.constant, shape=0, dtype=tf.float32 ashape = tf.constant6, 12, shape=2, dtype=tf.int64 b =...

chicksexer (0.2.2), gender-detection (0.2.2) +2 more potentially affected by CVE-2022-29202 via tensorflow (1.0.1)

tensorflow PYPI version 1.0.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - chicksexer 0.2.2 - gender-detection 0.2.2 - moodleinspire 0.0.10 - moodlemlbackend =0.0.2, =1.0.0 Source cves: CVE-2022-29202 Source advisor...

axelerate (>=0.5.2, <=0.5.5), bert-experimental (1.0.0) +24 more potentially affected by CVE-2022-29206 via tensorflow (1.15.2)

tensorflow PYPI version 1.15.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - axelerate =0.5.2, =2.0.1, =1.0.1, =0.1.0.dev1, =1.5.0.dev20210429, =1.5.0.dev20210512 - fedlearner-manylinux 1.5.0.dev20210429 -...

adpred (>=1.1.2, <=1.2.7), aix360 (>=0.2.0, <=0.2.1) +73 more potentially affected by CVE-2022-29206 via tensorflow (1.14.0)

tensorflow PYPI version 1.14.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - adpred =1.1.2, =0.2.0, =1.0.4, =0.1.1, =1.0.2, =0.0.4, =0.1.0, =0.92.0, =0.12.0, =0.22.0 and more Source cves: CVE-2022-29206 Source...

axelerate (>=0.5.8, <=0.5.9), bianbu-ai-toolkit-tf1 (1.0.6) +27 more potentially affected by CVE-2022-29206 via tensorflow (1.15.3)

tensorflow PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - axelerate =0.5.8, =0.0.1.2, =0.0.13, =1.1.0, =0.22.0, =1.6.0, =4.1.3, =0.10.0.dev1, =0.11.0 - muffnn 2.3.1 - neoepiscope 0.4.0 and more...

program-synthesis (0.1.2), qfragment (0.0.16) potentially affected by CVE-2022-29206 via tensorflow (1.5.1)

tensorflow PYPI version 1.5.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - program-synthesis 0.1.2 - qfragment 0.0.16 Source cves: CVE-2022-29206 Source advisory: OSV:PYSEC-2026-3235...

aadhaar-detection (0.5.0), accuinsight (>=1.0.84, <=1.0.87) +34 more potentially affected by CVE-2022-29203 via tensorflow (>=2.7.0, <=2.7.1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =1.2.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-29203 Source advisory: OSV:PYSEC-2026-3207...

abmarl (>=0.1.1, <=0.1.3), accuinsight (>=1.0.47, <=3.0.0) +517 more potentially affected by CVE-2022-29206 via tensorflow (>=2.0.0, <=2.6.3)

tensorflow PYPI version =2.0.0, =0.1.1, =1.0.47, =1.0.0, =1.2.0, =1.1.5, =0.0.1, =2.1.0, =0.5.6, =0.5.0, =0.1.0, =0.1.8 and more Source cves: CVE-2022-29206 Source advisory: OSV:PYSEC-2026-3235...

alfabet (0.0.5), alibi (>=0.3.1, <=0.5.1) +67 more potentially affected by CVE-2022-29206 via tensorflow (1.15.5)

tensorflow PYPI version 1.15.5 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - alfabet 0.0.5 - alibi =0.3.1, =0.1.0, =1.0.2, =0.1.0a3, =0.1.1, =0.0.1, =0.1.14, =0.2.0, =0.0.1, =0.1.0, =0.7.0 and more Source cves:...

lsmmdma (>=0.0.4, <=0.1.7), tpu-tf2 (1.0.0) potentially affected by CVE-2022-29205 via tensorflow-cpu (2.7.0)

tensorflow-cpu PYPI version 2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - lsmmdma =0.0.4, =0.1.7 - tpu-tf2 1.0.0 Source cves: CVE-2022-29205 Source advisory: OSV:PYSEC-2026-3274...

c4v-py (>=0.1.0.dev1, <=0.1.0.dev202107081840), medaka-cpu (1.5.0) +4 more potentially affected by CVE-2022-29205 via tensorflow-cpu (>=2.1.0, <=2.5.3)

tensorflow-cpu PYPI version =2.1.0, =0.1.0.dev1, =0.5.1, =0.102.0.dev0, =1.5.2, =1.7.4 Source cves: CVE-2022-29205 Source advisory: OSV:PYSEC-2026-3274...

PYSEC-2026-3274 Segfault due to missing support for quantized types

Impact There is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types added after migration to TF 2.x: python import numpy as np import tensorflow as tf...

sklearn-plus (>=0.0.3, <=0.0.4) potentially affected by CVE-2022-29203 via tensorflow (1.2.0)

tensorflow PYPI version 1.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - sklearn-plus =0.0.3, =0.0.4 Source cves: CVE-2022-29203 Source advisory: OSV:PYSEC-2026-3207...

branchedgp (1.0.0), fate-client (>=0.1.0, <=1.5.3) +9 more potentially affected by CVE-2022-29202 via tensorflow (1.15.4)

tensorflow PYPI version 1.15.4 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - branchedgp 1.0.0 - fate-client =0.1.0, =0.2.2, =0.2.0, =0.2.4, =0.0.5.dev0, =1.5.0, =0.1.6, =0.2.4 Source cves: CVE-2022-29202 Source...

fancy-nlp (>=0.0.1, <=0.0.4), nyoka (>=1.0.0, <=1.5.4) +3 more potentially affected by CVE-2022-29201 via tensorflow (1.9.0)

tensorflow PYPI version 1.9.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - fancy-nlp =0.0.1, =1.0.0, =0.11.0, =0.5.4, =0.5.7 Source cves: CVE-2022-29201 Source advisory: OSV:PYSEC-2026-3224...

PYSEC-2026-3312 Denial of service in `tf.ragged.constant` due to lack of validation

Impact The implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory: python import tensorflow as tf tf.ragged.constantpylist=,raggedrank=8968073515812833920 Patches We have patched the issue in GitHub...

c4v-py (>=0.1.0.dev1, <=0.1.0.dev202107081840), medaka-cpu (1.5.0) +4 more potentially affected by CVE-2022-29202 via tensorflow-cpu (>=2.1.0, <=2.5.3)

tensorflow-cpu PYPI version =2.1.0, =0.1.0.dev1, =0.5.1, =0.102.0.dev0, =1.5.2, =1.7.4 Source cves: CVE-2022-29202 Source advisory: OSV:PYSEC-2026-3312...

lsmmdma (>=0.0.4, <=0.1.7), tpu-tf2 (1.0.0) potentially affected by CVE-2022-29202 via tensorflow-cpu (2.7.0)

tensorflow-cpu PYPI version 2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - lsmmdma =0.0.4, =0.1.7 - tpu-tf2 1.0.0 Source cves: CVE-2022-29202 Source advisory: OSV:PYSEC-2026-3312...

gamornet-cpu (>=0.2.3, <=0.4.3), tchatbot (0.1.0) +1 more potentially affected by CVE-2022-29202 via tensorflow-cpu (1.15.0)

tensorflow-cpu PYPI version 1.15.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - gamornet-cpu =0.2.3, =0.7.0, =0.7.5 Source cves: CVE-2022-29202 Source advisory: OSV:PYSEC-2026-3312...

keras-pandas (>=1.1.2, <=2.0.1), learna-tools (0.1.0) potentially affected by CVE-2022-29204 via tensorflow (1.4.0)

tensorflow PYPI version 1.4.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - keras-pandas =1.1.2, =2.0.1 - learna-tools 0.1.0 Source cves: CVE-2022-29204 Source advisory: OSV:PYSEC-2026-3203...